Purity Wanjiku ’27: Finding the Mathematics Behind Policy


Name:
Purity Wanjiku
Class Year: 2027
Majors: Mathematics, Economics
Minor: Data Science

Internship Organization: Bryn Mawr College Summer Research
Internship Title: Undergraduate Research Assistant
Location: Bryn Mawr, PA

What’s happening at your internship? We would love to hear what kind of work you are doing!

This summer, I have been conducting Mathematics research under the supervision of Professor Leslie Cheng at Bryn Mawr College. My project focuses on the mathematical foundations of multiple regression and the Difference-in-Differences method, using Kenya’s Free Maternity Services Policy as the motivating application. Much of my work has involved reading econometrics textbooks and research papers, studying how these methods are derived mathematically, and writing the methodology chapter of my thesis. I have also met regularly with Professor Cheng to discuss new ideas, refine my understanding, and improve my academic writing. Through this process, I have developed a deeper appreciation for how Mathematics and Economics work together to answer important public policy questions.

Why did you apply for this internship?

I applied for this internship because I wanted to deepen my understanding of the Mathematics behind econometrics. After taking econometrics, I knew how to apply methods such as multiple regression, but I wanted to understand where these methods came from, why they work, and the assumptions that make them valid. The opportunity to study these methods while researching a policy from my home country made the project particularly meaningful to me. This research opportunity allowed me to explore those questions while combining my interests in Mathematics and Economics. I was also excited to work closely with Professor Cheng, develop my research skills, and gain experience that would prepare me for graduate study and a future in quantitative research.

What has been the biggest challenge you have faced at your internship?

One of the biggest challenges was becoming comfortable with not understanding everything immediately. Many of the mathematical derivations and econometric papers were much more advanced than anything I had encountered in class. Instead of getting discouraged, I learned to approach difficult material patiently by breaking it into smaller pieces, revisiting concepts several times, and asking questions during meetings. Over time, I became more confident tackling complex ideas independently, which has changed the way I approach challenging academic material.

Was this internship what you expected it to be?

Not exactly but in a good way. I expected to spend most of my time learning Mathematical techniques, but I didn’t realize how much independent thinking research requires. I learned that research is rarely a straight path; understanding one concept often raises new questions to explore. I also discovered how important reflection and discussion are in the research process. Regular conversations with my supervisor helped me think more critically about my work and showed me that developing as a researcher is just as much about asking thoughtful questions as it is about finding answers.